A block zero-padding method based on DCFT for L1 parameter estimations in weak signal and high dynamic environments

Wu, Chao; Xu, Luping; Hua, Zhang; Zhao, Wenbo

doi:10.1631/fitee.1500058

Cited by 8 publications

(8 citation statements)

References 14 publications

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“…To compare with CAMDP, SDHT [10] and DCFT [20], called the FFT-based methods, are used. The total number of complex multiplications of the methods can be shown in Table 1.…”

Section: Complexity Analysismentioning

confidence: 99%

“…The probability of bit transitions has been analyzed for improving the detection probability in the article [18]. Since discrete chirp-Fourier transform (DCFT) can be used to improve L5 signal acquisition detection probability [19], we have proposed a block zero-padding method based on DCFT for parameter estimations in weak signal and high dynamic environments in the article [20]. In this way, the post-correlation signal has been coherently post-integrated with the bit sequence stripped off, and the high dynamic parameters have been precisely estimated using the threshold set based on a false alarm probability.…”

Section: Introductionmentioning

confidence: 99%

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Low-Computation GNSS Acquisition Method for Sparse Doppler Frequency Hypotheses in High-dynamic Environment

2022

Preprint

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To acquire Global Navigation Satellite System (GNSS) signal detection means bit transition, Doppler frequency, Doppler rate and code phase four-dimension acquisition in high-dynamic and long integration applications, and this detection needs a high computational cost. To reduce the computations of parameters estimation, this paper proposes a low-computation GNSS acquisition method (LGAM) in the high-dynamic environment. Firstly, sparse Doppler frequency (SDF) process is performed for SDF hypotheses, and post-correlation signal model is derived based on SDF structure. Then, double-FFT based detection is proposed based on the post-correlation signal model for parameters estimation. The results demonstrate that due to the reduction of complex multiplications, the computational cost of LGAM is lower than that of the FFT based methods under the moderate signal to noise ratio (SNR).

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“…To compare with CAMDP, SDHT [10] and DCFT [20], called the FFT-based methods, are used. The total number of complex multiplications of the methods can be shown in Table 1.…”

Section: Complexity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Computation GNSS Acquisition Method for Sparse Doppler Frequency Hypotheses in High-dynamic Environment

2022

Preprint

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“…Among methods for initial frequency and chirping rate estimation, the authors in [12,13] proposed frequency estimation methods based on Fractional Fourier transform (FRFT) for high-dynamic applications. In addition, we proposed a frequency estimation method based on discrete chirp-Fourier transform (DCFT) [14]. However, in some high-dynamic applications, more accurate frequency is usually desired.…”

Section: Introductionmentioning

confidence: 99%

Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment

Luo

et al. 2022

International Journal of Antennas and Propagation

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To improve frequency accuracy which is affected by two parameters in high-dynamic acquisition, we propose a two-step frequency estimation method based on the mean frequency (MF) model for high-dynamic parameters estimation. The first step is based on the discrete chirp-Fourier transform (DCFT) for coarse MF estimation, where the MF accuracy and frequency search step are derived. In the second step, the maximum likelihood estimation process (MLEP) is adopted for fine MF estimation. Compared with state-of-art methods, it is verified that the two-step method can improve the detection probability in coarse MF estimation and improve the MF accuracy with low computational burdens under conditions with a moderate signal-to-noise ratio (SNR).

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“…The most commonly used loop, the phase-locked loop (PLL), has low sensitivity [ 1 ]. Increasing the integration time is a common solution to improve the sensitivity of receivers, such as coherent integration, non-coherent integration and differential integration [ 2 , 3 ]. However, increasing the integration time will reduce the dynamic performance of the phase-locked loop (PLL).…”

Section: Introductionmentioning

confidence: 99%

A Carrier Estimation Method Based on MLE and KF for Weak GNSS Signals

Zhang

Yan

et al. 2017

Sensors

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Maximum likelihood estimation (MLE) has been researched for some acquisition and tracking applications of global navigation satellite system (GNSS) receivers and shows high performance. However, all current methods are derived and operated based on the sampling data, which results in a large computation burden. This paper proposes a low-complexity MLE carrier tracking loop for weak GNSS signals which processes the coherent integration results instead of the sampling data. First, the cost function of the MLE of signal parameters such as signal amplitude, carrier phase, and Doppler frequency are used to derive a MLE discriminator function. The optimal value of the cost function is searched by an efficient Levenberg–Marquardt (LM) method iteratively. Its performance including Cramér–Rao bound (CRB), dynamic characteristics and computation burden are analyzed by numerical techniques. Second, an adaptive Kalman filter is designed for the MLE discriminator to obtain smooth estimates of carrier phase and frequency. The performance of the proposed loop, in terms of sensitivity, accuracy and bit error rate, is compared with conventional methods by Monte Carlo (MC) simulations both in pedestrian-level and vehicle-level dynamic circumstances. Finally, an optimal loop which combines the proposed method and conventional method is designed to achieve the optimal performance both in weak and strong signal circumstances.

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A block zero-padding method based on DCFT for L1 parameter estimations in weak signal and high dynamic environments

Cited by 8 publications

References 14 publications

Low-Computation GNSS Acquisition Method for Sparse Doppler Frequency Hypotheses in High-dynamic Environment

Low-Computation GNSS Acquisition Method for Sparse Doppler Frequency Hypotheses in High-dynamic Environment

Two-Step Frequency Estimation of GNSS Signal in High-Dynamic Environment

A Carrier Estimation Method Based on MLE and KF for Weak GNSS Signals

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